zcahjl3/seqxgpt-detector

SeqXGPT - Sentence-Level AI-Generated Text Detector

A trained SeqXGPT model for detecting AI-generated text at the sentence level.

Model Description

This model implements the SeqXGPT architecture from the paper "SeqXGPT: Sentence-Level AI-Generated Text Detection".

Training Results

Metric	Score
Sentence Accuracy	95.6%
Macro F1 Score	95.6%
Word Accuracy	95.5%

Supported Labels

• gpt2: GPT-2 generated
• gptneo: GPT-Neo generated
• gptj: GPT-J generated
• llama: LLaMA generated
• gpt3re: GPT-3 rewritten
• human: Human written

Usage

import torch
from model import ModelWiseTransformerClassifier

# Load model
model = torch.load("seqxgpt_transformer.pt")
model.eval()

# Inference requires feature extraction from 4 LLMs (GPT-2, GPT-Neo, GPT-J, LLaMA)
# See the original SeqXGPT repo for full pipeline

Citation

@misc{wang2023seqxgpt,
    title={SeqXGPT: Sentence-Level AI-Generated Text Detection}, 
    author={Pengyu Wang and Linyang Li and Ke Ren and Botian Jiang and Dong Zhang and Xipeng Qiu},
    year={2023},
    eprint={2310.08903},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}